Jobs in the United States

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Senior Software Engineer, Core Infrastructure
Oracle
Nashville, TN
Added 2 mins ago
Forward Deployed Full-Stack Engineer (Patuxent River, MD / Mid-level)
Spear AI
Manassas, VA
We’re seeking a skilled Forward Deployed Full-Stack Engineer to build the next-generation data management and artificial intelligence platform for maritime domain awareness.
Added 2 mins ago
Deployment Strategist
Raydar
San Francisco, CA
- Able to discuss the product's technical topics without being a deeply technical engineer.
Added 2 mins ago
Applied AI Engineer
Raydar
San Diego, CA
Added 2 mins ago
Application Security Engineer
Raydar
San Francisco, CA
Added 3 mins ago
Senior Software and Integrations Engineer
Propeller Industries
Remote, United States
Title: Senior Software and Integrations Engineer
Added 3 mins ago
Associate Value Engineer (Post-Sales)
Mimica
Remote, United States
Added 4 mins ago
Senior Sales Engineer - Federal (NSA, CIA, FBI)
Zscaler
Remote, United States
Zscaler is seeking a Senior Sales Engineer to join our Federal team, specifically focused on the 3 letter agencies (NSA, CIA, FBI, etc.). This is a hands-on technical role where you are…
Added 4 mins ago
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Principal Security Engineer - AI Security & GenAI Data Protection
Citizens Financial Group, Inc.
Pittsburgh, PA · Irving, TX · Phoenix, AZ · Manchester, NH · Boston, MA · Johnston, RI · Cleveland, OH
- $130,000 to $195,000 USD / year
Principal Security Engineer, AI Security & GenAI Data Protection
Added 5 mins ago
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Senior Technical Consultant - CTEM / Vulnerability Management Engineer
AHEAD
Remote, United States
- $170,000 to $180,000 USD / year
Added 7 mins ago
ML
Full Stack Software Engineer
MPATHIC LLC
Remote, United States
- $65 to $80 USD / hour
Mpathic is seeking a Full Stack Software Engineer to design, develop, and maintain software solutions that support customer-facing applications, internal operations, and emerging AI-driven…
Added 8 mins ago
Associate Fire Protection Engineer
Jensen Hughes
Houston, TX · Allen, TX · Austin, TX · Denver, CO
Added 9 mins ago
Embedded Software Engineer – AI and Web
Emerson
Marshalltown, IA
Added 9 mins ago
Senior Data Quality Engineer, Data Quality Services
Irving, TX
We are seeking a Senior Data Quality Engineer to define, measure, and automate the quality of the training and validation data used for robotics, autonomy, computer vision, and…
Added 10 mins ago
Director, AI and Analytics
UFCU Main
Austin, TX
Added 10 mins ago
Lead Software Engineer - Java or Python, Agentic AI
JPMC page
Jersey City, NJ
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Digital Channel's team, you will build autonomous agent capabilities that can plan, execute, validate,…
Added 10 mins ago
Lead Software Engineer
JPMC page
Jersey City, NJ
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Data Strategy & Architecture organization, you are an integral part of an agile team that works to enhance,…
Added 10 mins ago
Lead Software Engineer - Java, React, AWS
JPMC page
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office team, you will shape architecture and drive delivery across the firm's state-of-the-art technology…
Added 13 mins ago
Senior Data Engineer
Ciklum
United States
Ciklum is looking for a Senior Data Engineer to join our team full-time in the US .
Added 13 mins ago
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Sr Substation Engineer PE
Actalent
Tulsa, OK
- $50.07 to $70.1 USD / hour
The position falls within the substation department of the organization. The engineer will work to complete projects that support our utility customer with minimum direction. They will work…
Added 13 mins ago
Sr Transmission Line Engineer PE (Remote)
Actalent
Tulsa, OK
This position falls within the Transmission Line Engineering Department of our organization. The successful engineer will complete projects that support our large utility customer, with…
Added 13 mins ago
A
Distribution Engineer III (Remote)
Actalent
Tulsa, OK
- $35 to $50 USD / hour
…underground distribution lines from 4 kV to 69 kV. They will engineer and design overhead, URD, re-conductoring and asset replacement projects, and underground cable/conduit distribution…
Added 13 mins ago
O
Principal Site Reliability Automation Developer - US REMOTE
Oracle
Oklahoma City, OK
- $102,300 to $209,500 USD / year
Lead complex production investigations and engineer durable long-term fixes
Added 13 mins ago
O
Senior Platform Software Engineer - OCI
Oracle
Oklahoma City, OK
- $92,500 to $209,500 USD / year
Oracle Cloud Infrastructure (OCI) is looking for a Senior Platform Software Engineer to join the PKI team responsible for building and operating cloud-scale Public Key Infrastructure…
Added 13 mins ago
Senior Logistics Engineer
Huntington Ingalls Industries
Oklahoma City, OK
HII Mission Technologies is looking for a Senior Logistics Engineer to support a position located at Tinker AFB, Oklahoma. The Sr. Logistics Engineer must have experience in engineering…

Robert Half

Artificial Intelligence (AI) Engineer

Cincinnati, OH, United States

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Job details

Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.

Responsibilities:

Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.
Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.
Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.
Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.
Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.
Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.
Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.
Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.
Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.
Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
Hands-on experience designing and deploying AI or machine learning solutions in production environments.
Strong proficiency in Python and common ML libraries such as TensorFlow, along with experience building training and inference workflows.
Practical knowledge of generative AI concepts, including large language models, prompt engineering, retrieval-augmented generation, embeddings, or vector search.
Understanding of MLOps or LLMOps practices, including model versioning, CI/CD, monitoring, and performance validation.
Experience integrating AI applications with data platforms, APIs, and enterprise systems in a secure and reliable manner.
Familiarity with responsible AI principles covering privacy, security, fairness, and model safety.
Ability to work effectively with cross-functional stakeholders and communicate technical trade-offs, assumptions, and progress clearly.
Background in machine learning domains such as computer vision, detection, or related AI disciplines is preferred.

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